Open-weight model · Sentence similarity

Qwen3-VL-Embedding-2B-Q8_0-GGUF

by Alanliang alan314159/Qwen3-VL-Embedding-2B-Q8_0-GGUF

Qwen3-VL-Embedding-2B-Q8_0-GGUF is an open-weight model for sentence similarity from Alanliang, released under Apache License 2.0. Its published files total 1.8 GB.

This model was converted to GGUF format from Qwen/Qwen3-VL-Embedding-2B using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

Parameters—

Context—

Weights1.8 GB

Licenseapache-2.0

AccessOpen weights

Monthly Downloads—

Model Card

By Alanliang, published under apache-2.0, revision b37952cf452f.

This model was converted to GGUF format from Qwen/Qwen3-VL-Embedding-2B using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model. Install llama.cpp through brew (works on Mac and Linux) Invoke the llama.cpp server or the CLI. Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well. Step 2: Move into the llama.cpp folder and build it with LLAMACURL=1 flag along with other hardware-specific flags (for ex: LLAMACUDA=1 for Nvidia GPUs on Linux).

Read Alanliang's full model card

This model was converted to GGUF format from Qwen/Qwen3-VL-Embedding-2B using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

Use with llama.cpp

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo alan314159/Qwen3-VL-Embedding-2B-Q8_0-GGUF --hf-file qwen3-vl-embedding-2b-q8_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo alan314159/Qwen3-VL-Embedding-2B-Q8_0-GGUF --hf-file qwen3-vl-embedding-2b-q8_0.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.

Step 1: Clone llama.cpp from GitHub.

git clone https://github.com/ggerganov/llama.cpp

Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).

cd llama.cpp && LLAMA_CURL=1 make

Step 3: Run inference through the main binary.

./llama-cli --hf-repo alan314159/Qwen3-VL-Embedding-2B-Q8_0-GGUF --hf-file qwen3-vl-embedding-2b-q8_0.gguf -p "The meaning to life and the universe is"

./llama-server --hf-repo alan314159/Qwen3-VL-Embedding-2B-Q8_0-GGUF --hf-file qwen3-vl-embedding-2b-q8_0.gguf -c 2048

Identity and Version

Repository: alan314159/Qwen3-VL-Embedding-2B-Q8_0-GGUF
Publisher: Alanliang
Task: Sentence similarity
Modality: Text
Library: sentence-transformers
Parameters: Not stated by the source
Languages: Not stated by the source
Revision: b37952cf452f5624ab794f3ee83c76fd656b9a48
First published: 2026-10-03
Last updated: 2026-10-03

Files and Weights

3 files, 1.8 GB in total. The weights are 1 file totalling 1.8 GB in gguf.

Weights1 file · 1.8 GB

Documentation1 file · 1.9 KB

Repository1 file · 1.6 KB

Every file

File	Type	Size	SHA-256
qwen3-vl-embedding-2b-q8_0.gguf	Weights	1.8 GB	f143aa21187a
README.md	Documentation	1.9 KB	—
.gitattributes	Repository	1.6 KB	—

License and Download

License: apache-2.0
Access: Open weights, no gate
Download size: 1.8 GB

Download from Alanliang

Released by Alanliang through its official repository on Hugging Face. Read the license.

Built From

Derived from Qwen/Qwen3-VL-Embedding-2B
Quantized from Qwen/Qwen3-VL-Embedding-2B

Memory Requirements

Precision	Weights in memory
As published	1.8 GB

Weights only, from the published parameter count; the key-value cache and runtime add to this.

Questions About Qwen3-VL-Embedding-2B-Q8_0-GGUF

Can I use Qwen3-VL-Embedding-2B-Q8_0-GGUF commercially?

Yes. Qwen3-VL-Embedding-2B-Q8_0-GGUF is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.

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